Biometric Mood Analysis for Adaptive Message Notification Timing
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Solution Overview
Problem
Current notification systems for messages, such as text messages, emails, or instant messages, do not consider the recipient's mood or status, leading to interruptions when the recipient is busy or not in a suitable emotional state to receive notifications, requiring manual activation of 'do not disturb' settings which are often forgotten.
Innovation Solution
A system that analyzes the recipient's mood and status using facial and speech biometrics to automatically delay notifications when the recipient is busy or when the message content and recipient's mood mismatch, and can modify message content to better match the recipient's mood.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If notifications are sent immediately when messages arrive, then message delivery speed is improved, but user interruption and disturbance increase
Solution Approach 1:
The system performs preliminary analysis of the recipient's mood and status before sending notifications. By using facial recognition and speech analysis to assess the recipient's emotional state and activity level in advance, the system determines whether to delay notification delivery, thus preventing interruptions before they occur while maintaining ready-to-send message queues
Solution Approach 2:
The system continuously monitors the recipient's mood and status through facial expressions and speech patterns, using this feedback to dynamically adjust notification timing. When the recipient appears calm and available, notifications are sent immediately; when stress or distraction is detected, notifications are delayed until a more appropriate time
2Ease of operation
If manual 'do not disturb' settings are implemented, then user control over notifications is improved, but ease of operation deteriorates due to forgotten activation
Solution Approach 1:
The system automatically manages notification delivery without requiring user intervention. It independently monitors the recipient's mood and status, makes decisions about notification timing, and adjusts delivery accordingly, eliminating the need for users to manually activate or remember 'do not disturb' settings
Solution Approach 2:
The patent replaces the mechanical manual switching of notification settings with an automated biometric monitoring system. Instead of relying on users to manually toggle 'do not disturb' modes, the system uses facial recognition and speech analysis technologies to automatically detect the recipient's state and control notification delivery
3Adaptability or versatility
If notifications are delayed based on mood analysis, then user experience is improved, but device complexity increases due to biometric analysis requirements
Solution Approach 1:
The system uses a multi-functional approach where the camera and microphone serve multiple purposes: standard communication functions plus mood detection through facial recognition and speech analysis. This allows the device to perform both traditional messaging and emotional state monitoring using existing hardware components
Solution Approach 2:
The patent introduces mood analysis algorithms as an intermediary layer between message reception and notification delivery. This mediator component processes biometric data and determines optimal notification timing, separating the complex analysis functions from the core notification system and allowing for modular implementation
Data Source
AI summary
Embodiments of the present invention disclose a method, computer program product, and system for delaying the notification of a new message arrival. Receiving a message from a sending computing device and determining a first mood of a user receiving the message. Determining a second mood of the content of the message and comparing the first mood to second mood. Delaying a transmission of a notification when the first mood and the second mood are different, wherein the notification is a sound or pop-up window that indicates the arrival of a message.